In this paper, we conduct simultaneous inference of the non-parametric part of a partially linear model when the non … confidence region of the multivariate function for simultaneous inference. The developed methodology is applied to perform … simultaneous inference for the U.S. gasoline demand where the income and price variables are contaminated by Berkson errors. The …

parameter are derived. We further provide high-quality de-biased simultaneous inference on the many target parameters of the …

parameter are derived. We further provide high-quality de-biased simultaneous inference on the many target parameters of the …

-biased simultaneous inference on the many target parameters of the system. We provide bootstrap consistency results of the test procedure …

-biased simultaneous inference on the many target parameters of the system. We provide bootstrap consistency results of the test procedure …

-biased simultaneous inference on the many target parameters of the system. We provide bootstrap consistency results of the test procedure …

surface of the multivariate function for simultaneous inference. The developed methodology is applied to perform inference for …